Meld: Exploring the Feasibility of a Framework-less Framework
Abstract
HEP data-processing frameworks are essential ingredients in getting from raw data to physics results. But they are often tricky to use well, and they present a significant learning barrier for the beginning HEP physicist. In addition, existing frameworks typically support rigid, collider-based data models, which do not map well to neutrino-physics experiments like DUNE. Neutrino physicists thus expend significant effort working around framework limitations instead of using a framework that directly supports their needs. Presented here is Meld, a Fermilab R&D project, which intends to address these limitations. By leveraging modern C++ capabilities, state-of-the-art concurrency libraries, and a flexible data model, it is possible for beginning (and seasoned) HEP physicists to execute framework programs easily and efficiently, with minimal coupling to framework-specific constructs. Meld aims to directly support the frameworks needs of neutrino experiments like DUNE as well as the more common collider-based experiments.
Keywords
Cite
@article{arxiv.2308.16710,
title = {Meld: Exploring the Feasibility of a Framework-less Framework},
author = {Kyle J. Knoepfel},
journal= {arXiv preprint arXiv:2308.16710},
year = {2023}
}
Comments
8 pages, 5 figures, 1 table, To be published in Proceedings of CHEP23